Triple
T9594159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4.5 inch Mark 8 naval gun |
E231488
|
entity |
| Predicate | shellDiameter |
P89117
|
FINISHED |
| Object | 114 mm |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 114 mm | Statement: [4.5 inch Mark 8 naval gun, shellDiameter, 114 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shellDiameter Context triple: [4.5 inch Mark 8 naval gun, shellDiameter, 114 mm]
-
A.
throatDiameter
Indicates the width or size of the opening of a passage or tube-like structure, typically where flow is most constricted.
-
B.
sphereDiameter
Indicates the measurement of the distance across a sphere passing through its center, relating the sphere to its diameter.
-
C.
coreStageDiameter
Indicates the diameter measurement of the central or primary stage of an object or system.
-
D.
dishDiameter
Indicates the measurement of how wide a dish is across its center.
-
E.
driverDiameter
Indicates the size of the circular cross-section of a driver component, typically measured as the distance across its widest point.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a134b0c81908a568e5d2ecfbb92 |
completed | April 1, 2026, 10:20 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a359788190b24f82399489f7fe |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:07 p.m.